Plot the R_NX curve for different embeddings. Takes a list of
`dimRedResult`

objects as input.
Also the Area under the curve values are computed for a weighted K
(see AUC_lnK_R_NX for details) and appear in the legend.

## Arguments

- x
a list of

`dimRedResult`

objects. The names of the list will appear in the legend with the AUC_lnK value.- ndim
the number of dimensions, if

`NA`

the original number of embedding dimensions is used, can be a vector giving the embedding dimensionality for each single list element of`x`

.- weight
the weight function used for K when calculating the AUC, one of

`c("inv", "log", "log10")`

## See also

Other Quality scores for dimensionality reduction:
`AUC_lnK_R_NX,dimRedResult-method`

,
`LCMC,dimRedResult-method`

,
`Q_NX,dimRedResult-method`

,
`Q_global,dimRedResult-method`

,
`Q_local,dimRedResult-method`

,
`R_NX,dimRedResult-method`

,
`cophenetic_correlation,dimRedResult-method`

,
`distance_correlation,dimRedResult-method`

,
`mean_R_NX,dimRedResult-method`

,
`quality,dimRedResult-method`

,
`reconstruction_error,dimRedResult-method`

,
`reconstruction_rmse,dimRedResult-method`

,
`total_correlation,dimRedResult-method`

## Examples

```
if(requireNamespace(c("RSpectra", "igraph", "RANN", "ggplot", "tidyr", "scales"), quietly = TRUE)) {
## define which methods to apply
embed_methods <- c("Isomap", "PCA")
## load test data set
data_set <- loadDataSet("3D S Curve", n = 200)
## apply dimensionality reduction
data_emb <- lapply(embed_methods, function(x) embed(data_set, x))
names(data_emb) <- embed_methods
## plot the R_NX curves:
plot_R_NX(data_emb) +
ggplot2::theme(legend.title = ggplot2::element_blank(),
legend.position = c(0.5, 0.1),
legend.justification = c(0.5, 0.1))
}
#> 2023-03-21 13:05:38: Isomap START
#> 2023-03-21 13:05:38: constructing knn graph
#> 2023-03-21 13:05:38: calculating geodesic distances
#> 2023-03-21 13:05:38: Classical Scaling
#> Warning: `gather_()` was deprecated in tidyr 1.2.0.
#> ℹ Please use `gather()` instead.
#> ℹ The deprecated feature was likely used in the dimRed package.
#> Please report the issue at <https://github.com/gdkrmr/dimRed/issues>.
```